Job description
Description
Our diverse team is accountable for the design, development, deployment, and operations of a device and network analytics solution including a Big Data platform, a rich web frontend, and mobile smartphone-based client software. This is a key element of Vodafone’s customer care and network performance and optimization strategy and operated in about 20 markets and multiple data centres and cloud instances across the Vodafone international footprint.
As the Data Scientist, and part of the solution support team, you will share your experience to exploit the solution’s data analytics capabilities in order to further scale the know-how across the organization. Moreover, in close cooperation with the Senior Data Architect and with the solution development teams, you will build and continuously increase the know-how of the analytics data definitions and analysis capabilities and document that accordingly. You will provide valuable input for further development thus contributing significantly to the specification and verification of new features and use cases that steer powerful data intelligence and insights throughout the lifecycle of this analytics solution.
Role purpose:
- Translate complex crowd-sourced data sets into powerful analyses, reports and dashboards
- Use machine learning / AI algorithms for ensuring data quality and detecting hidden information to maintain and leverage the value of the analytics data
- Enrich the crowd-sourced data with further meta data
- Provisioning of configurable features of the analytics solution, in order to enable further customized use cases (e.g. for automatic speed testing or based on custom analytics)
- Track data quality and detect data anomalies and hidden information on large scale by providing suitable ML/AI based automation
- Translate complex crowd-sourced data sets into powerful analytics that deliver key insights to business use cases
- Senior level solution analytics support according to support model definition
- Enrich the crowd-based data analytics solution by customized meta data and by provisioning configurable features
- Feed the own, high-level know-how back to the development team to drive the further development of the solution
- Mentor young data scientists in the team
What we are looking for:
- Professional experience in data science, engineering, and analytics
- M.Sc. or Ph.D. in mathematics, computer science, data science or engineering
- Strong experience in working with big data and selecting and applying suitable optimization algorithms and predictive analytics (ideally experience with time series analysis)
- Excellent ability to delve into complex data and process and prepare it according to audience
- Strong communication skills and high degree of autonomy and self-responsibility
- Experience with device and network analytics platform and network technologies is helpful
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